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c7gd.large by Amazon Web Services

c7gd.large is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 large server offered by Amazon Web Services with 2 vCPUs, 4 GiB of memory and 118 GB of storage. The pricing starts at 0.0118 USD per hour.
2 vCPU
4 GiB Memory
118 GB Storage
Spare SCore
3042
(All-cores)
1533
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c7gd.large
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 large
Family
c7gd
Hw Virt
Status
active
Observed At
2026-08-08T07:13:22.003112

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.0212 USD/h 0.0576 USD/h
(MY) / ap-southeast-5
0.032933 USD/h 0.09 USD/h
Ohio (US) / us-east-2
0.0204 USD/h 0.0907 USD/h
Oregon (US) / us-west-2
0.034425 USD/h 0.0907 USD/h
Northern Virgina (US) / us-east-1
0.03922 USD/h 0.0907 USD/h
Stockholm (SE) / eu-north-1
0.0314 USD/h 0.0983 USD/h
Quebec (CA) / ca-central-1
0.0415 USD/h 0.1002 USD/h
Aragón (ES) / eu-south-2
0.018433 USD/h 0.103 USD/h
Dublin (IE) / eu-west-1
0.0432 USD/h 0.103 USD/h
Seoul (KR) / ap-northeast-2
0.0383 USD/h 0.104 USD/h
Frankfurt (DE) / eu-central-1
0.053667 USD/h 0.1049 USD/h
Jakarta (ID) / ap-southeast-3
0.01965 USD/h 0.1058 USD/h
Singapore (SG) / ap-southeast-1
0.047633 USD/h 0.1058 USD/h
London (GB) / eu-west-2
0.046 USD/h 0.1087 USD/h
Paris (FR) / eu-west-3
0.0405 USD/h 0.1087 USD/h
California (US) / us-west-1
0.0351 USD/h 0.1134 USD/h
Osaka (JP) / ap-northeast-3
0.032 USD/h 0.1153 USD/h
Tokyo (JP) / ap-northeast-1
0.0469 USD/h 0.1153 USD/h
Zurich (CH) / eu-central-2
0.0294 USD/h 0.1154 USD/h
Sydney (AU) / ap-southeast-2
0.0467 USD/h 0.1191 USD/h
Sao Paulo (BR) / sa-east-1
0.03375 USD/h 0.1408 USD/h

Processor

vCPUs
2
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
2
CPU Speed
2.6 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv8
CPU Model
Neoverse-V1
CPU L1D Cache
64 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, jscvt, fcma, lrcpc, dcpop, sha3, sm3, sm4, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, ssbs, paca, pacg, dcpodp, svei8mm, svebf16, i8mm, bf16, dgh, rng
Ecpus
2
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
4 GiB
Memory Amount Actual
4 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    118 GB
    Storage Type
    nvme ssd
    Storages
    • 118 GB nvme ssd
    NETWORK
    Network Speed Baseline
    0.937 Gbps
    Network Speed Max
    12.5 Gbps
    Network Storage Speed Baseline
    0.63 Gbps
    Network Storage Speed Max
    10 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM64-based compute-optimized instance featuring dedicated Graviton cores and integrated high-speed local NVMe SSD storage for lightweight workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c7gd.large is a compute-optimized instance featuring 2 dedicated ARM64 vCPUs powered by an AWS Graviton Neoverse-V1 processor running at 2.6 GHz. It is configured with 4.0 GB of system memory and a bundled 118 GB NVMe SSD local instance store. Operating on the Nitro hypervisor, the server delivers a 1 Gbps baseline network bandwidth. Benchmark data indicates average single-core capabilities, with a Geekbench single-core score of 1473.0, but weaker multi-core and memory write performance. The local NVMe storage provides qualitative cost efficiency for disk-heavy operations without requiring external volumes. This instance is best suited for lightweight ARM64 development, single-threaded batch processing, and basic web serving workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.23Score
    Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
    Component Score Weight Impact
    Raw Reference Normalized Target Actual
    Redis RPS (pipeline=1, SET) 298,622 ops/sec 1,910,660 ops/sec 0.156 50.00% 50.00% -60.50%
    Redis RPS (pipeline=16, SET) 1,841,477 ops/sec 11,608,287 ops/sec 0.159 20.00% 20.00% -30.80%
    PassMark Memory Mark (composite) 1,083 2,416 0.448 10.00% 10.00% -7.72%
    Memory bandwidth (read, 16 MB ~ L3) 63,977 MB/sec 107,896 MB/sec 0.593 10.00% 10.00% -5.09%
    PassMark single-thread CPU 1,561 Mops/s 2,364 Mops/s 0.66 10.00% 10.00% -4.07%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,473

    Geekbench Multi-Core

    Score: 2,649

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 1556
    Compression
    		 10332
    Encryption
    		 273
    Extended Instructions
    		 1647
    Floating Point Maths
    		 9420
    Integer Maths
    		 9489
    Physics
    		 544
    Prime Numbers
    		 25
    Single Threaded
    		 1561
    String Sorting
    		 7806

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1083
    Database Operations
    		 1995
    Memory Latency
    		 51
    Memory Read Cached
    		 19606
    Memory Read Uncached
    		 18833
    Memory Write
    		 19678

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    LLM Inference Speed for Prompt Processing

    LLM Inference Speed for Text Generation

    Static Web Server

    Redis

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYGPUs
    c7gd.medium 12 GiB0
    c7gd.xlarge 48 GiB0
    c7gd.2xlarge 816 GiB0
    c7gd.4xlarge 1632 GiB0
    c7gd.8xlarge 3264 GiB0
    c7gd.12xlarge 4896 GiB0
    c7gd.16xlarge 64128 GiB0

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    c7gd.large FAQs